Track and communicate team metrics (delivery, quality, operational health).
Get proactively involved in urgent issues and propose effective solutions; own on-call and operational excellence.
Take on unowned work that improves team velocity and quality.
Stay current with industry trends and emerging technologies, and evaluate their fit.
Perform other reasonable duties as required by management.
Required Qualifications
Bachelor's or master's degree in engineering, computer science, or a related field.
7+ years of enterprise software development in Java or another backend language (e.g., Python, Go).
Experience designing and implementing distributed systems using microservices and event-driven architectures.
Professional experience running production systems on a public cloud (AWS, Azure, or GCP), including containers, CI/CD, and observability.
Strong data modeling skills and experience with relational and NoSQL data stores.
Experience with APIs (REST/gRPC), messaging/streaming (Kafka, SQS, etc.), and designing for scalability and resilience.
Strong analytical and problem-solving skills, with excellent attention to detail.
Excellent written and verbal communication, and strong documentation habits.
Commitment to continuous learning, client satisfaction, and teamwork in a SaaS environment.
Preferred Qualifications
Exposure to AI/ML or LLM-based features (RAG, embeddings, prompt engineering) or interest in applying AI to engineering workflows.
Familiarity with financial services, investment accounting, or fixed-income data.
Experience with data governance, privacy, and regulatory/compliance requirements.
Infrastructure as code (Terraform, CloudFormation) and Kubernetes experience.
Track record of technical mentorship and leading cross-team initiatives.
